Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Training Azure Machine Learning 2026 - Deploying Advanced ML Pipelines
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master Azure Machine Learning 2026 pipelines for professional certifying workflows
- Develop advanced skills in designing and optimizing ML models in enterprise settings
- Design scalable deployments with AutoML and MLOps on Azure
- Implement Deep Learning solutions integrated with Azure ML for accurate predictions
- Optimize Prompt Engineering in hybrid Azure AI agents
- Deploy monitored and secure systems for certifying AI training
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without Azure Machine Learning 2026 mastery, 75% of enterprise ML projects fail at deployment according to Gartner, resulting in estimated losses of 500k€ per failed initiative.
Data scientists without Azure certification lose 30% of career opportunities to the competition, while IT teams face data silos and 40% higher cloud costs.
The absence of MLOps pipelines exposes models to undetected bias, affecting GDPR compliance and market competitiveness.
Invest now to secure your AI expertise and boost enterprise value.
Program
Module 1Azure Machine Learning Pipelines: Design and Automation (AutoML, Advanced Datasets)
Discover the new features of Azure Machine Learning 2026 to design end-to-end pipelines, configure managed datasets with automatic versioning, explore AutoML for intelligent hyperparameter tuning, perform practical exercises on real business cases, generate deliverables like production-ready workspaces, integrate performance metrics from day 1 for rapid upskilling.
Module 2Deep Learning in Azure Machine Learning: Custom Models and Fine-Tuning (ONNX, PyTorch)
Dive into training Deep Learning models on Azure ML 2026, deploy neural networks with PyTorch and TensorFlow, apply fine-tuning on large datasets via scalable compute clusters, test CNN and Transformer architectures in practical workshops, analyze advanced metrics like ROC-AUC, produce exportable ONNX models for multi-platform integration, prepare concrete enterprise optimization cases.
Module 3Deployment and MLOps in Azure Machine Learning: Monitoring, Security, Prompt Engineering (ACI, AKS)
Master production deployment with Azure Container Instances and Kubernetes Service, implement MLOps for automated CI/CD, integrate Prompt Engineering for hybrid generative AI agents, configure real-time monitoring via Azure Monitor and MLflow, strengthen security with RBAC and Private Endpoints, finalize with a deliverable capstone project, evaluate performance in real conditions for professional skills certification.
Evaluation method
- Interactive quizzes and MCQs at the end of each day on pipelines and Deep Learning
- Practical MLOps deployment project evaluated by certified experts
- Qualiopi certificate with personalized Azure ML deliverables portfolio
Learning method
- Active pedagogy with 70% hands-on on dedicated Azure clusters
- Real case studies from Fortune 500 companies using Azure ML 2026
- Supervision by Microsoft Certified Trainers expert in AI
- Unlimited access to an Azure lab post-training for consolidation
Methods, materials and delivery
The Training Azure Machine Learning 2026 - Deploying Advanced ML Pipelines program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Azure Machine Learning 2026 - Deploying Advanced ML Pipelines program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Azure Machine Learning 2026 - Deploying Advanced ML Pipelines program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training Azure Machine Learning 2026 - Deploying Advanced ML Pipelines training cost?+
The price is $3,675 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Azure Machine Learning 2026 - Deploying Advanced ML Pipelines training?+
The training lasts 3 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of Python, basics in machine learning, Azure experience (resources, CLI), knowledge of Docker and Git
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
Available on-site and remotely. Pick your city to see the local training center.
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